PG SYLLABUS

(INFORMATION TECHNOLOGY MANAGEMENT)

SEMESTER PAPER PAPER

CODE

FULL

MARKS

REMARKS

FIRST ADVANCED COMPUTER

ARCHITECTURE

MITM-1.1.1 100 COMPULSORY

COMPUTER GRAPHICS MITM-1.1.2 100 COMPULSORY

MOBILE COMMUNICATIONS MITM-1.1.3 100 COMPULSORY

PROBABILITY AND STOCHASTIC

PROCESS

MITM-1.1.4 100 COMPULSORY

HUMAN RESOURCE MANAGEMENT MITM-1.1.5 100 COMPULSORY

SECOND ARTIFICIAL INTELLIGENCE MITM-1.2.1 100 COMPULSORY

DATA MINING AND DATA

WAREHOUSING

MITM-1.2.2 100 COMPULSORY

DESIGN AND ANALYSIS OF

ALGORITHMS

MITM-1.2.3 100 COMPULSORY

WIRELESS SENSOR NETWORKS MITM-1.2.4 100 COMPULSORY

CUSTOMER RELATIONSHIP

MANAGEMENT

MITM-1.2.5 100 COMPULSORY

THIRD SOFTWARE EVOLUTION MITM-2.3.1 100 COMPULSORY

CRYPTOGRAPHY AND NETWORK

SECURITY

MITM-2.3.2 100 COMPULSORY

IT INFRASTRUCTURE DESIGN MITM-2.3.3 100 COMPULSORY

INTERNET OF THINGS MITM-2.3.4 100 COMPULSORY

BUSINESS RESEARCH

DEVELOPMENT

MITM-2.3.5 100 COMPULSORY

FOURTH CLOUD COMPUTING MITM-

2.4.1 A

100 CHOOSE ANY

ONE OF THE

TWO

COURSES

BIOINFORMATICS MITM-

2.4.1 B

DIGITAL IMAGE PROCESSING MITM-

2.4.2 A

100 CHOOSE ANY

ONE OF THE

TWO

COURSES

EMBEDDED SYSTEMS MITM-

2.4.2 B

STRATEGIC AND PERFORMANCE

MANAGEMENT

MITM-

2.4.3 A

100 CHOOSE ANY

ONE OF THE

TWO

COURSES

ACCOUNTING FOR BUSINESS AND

LEGAL ASPECTS

MITM-

2.4.3 B

PROJECT MITM-2.4.4 300 COMPULSORY

FIRST SEMESTER

Advanced Computer Architecture (MITM-1.1.1)

Full marks – 100 (Mid Semester: 20; End Semester: 80)

UNIT I

Digital Electronics: Boolean algebra, Combinational circuits, Karnaugh map, Flip-flops,

Sequential circuits. RISC processors, RISC vs CISC, Classification of Instruction set

Architecture, Performance measurement, Basic parallel processing techniques: Instruction

level, Thread level and Process level. Classification of parallel architecture.

UNIT II

Pipeline: Arithmetic pipeline, Instruction pipeline. Hazards in a pipeline: Structural, data and

control hazard, Overview of hazard resolution techniques. Dynamic instruction scheduling,

Branch prediction techniques, Instruction-level parallelism using software approaches,

Superscalar techniques.

UNIT III

Basic concept of hierarchical memory organization, Main memories, Cache memory design

and implementation, Cache coherence problem and synchronization mechanisms, Virtual

memory design and implementation, Secondary memory technology, RAID.

UNIT IV

Bus structures and standards, Synchronous and asynchronous buses, Types and uses of

storage devices, Interfacing I/O to the rest of the system, Reliability and availability, I/O

system design, Platform architecture.

UNIT V

Centralized vs. distributed shared memory, Interconnection topologies, Multiprocessor

architecture, Symmetric multiprocessors, Cache coherence problem, Synchronization,

Memory consistency, Multicore architecture. Distributed computers, Clusters, Grid,

Mainframe computers.

Text Book:-

1. Computer Organisation and Design: The Hardware/Software Interface by David A.

Patterson and John L. Hennessy. 5th Edition, Morgan Kaufmann, 2013.

2. Computer System Architecture by M. Mano, 3rd Edition, Pearson Education, 2007.

3. Computer Architecture: A Quantitative Approach by J. Hennessey and D. Patterson,

5th Edition, Morgan Kaufman.

4. Advanced Computer Architecture: A design Space Approach by D. Sima, Addison-

Wesley, 1987.

Computer Graphics (MITM-1.1.2)

Full marks – 100 (Mid Semester: 20; End Semester:

50(Theory)+30(Practical))

UNIT I

A survey of computer graphics: Computer Aided Design, Presentation Graphics, Computer

Art, Entertainment, Education Training, Visualization, Image Processing, Graphical User

Interface. Overview of graphics system: Video Display Devices, Raster Scan Systems,

Random Scan Systems, Input Devices, Hard-copy Devices, Graphics Software. Output

primitives: Points and lines, DDA and Bresenham’s Line Drawing Algorithm, Midpoint

circle algorithm, Filled area primitives. Attributes of output primitives: Line attributes,

Curve attributes, Colour and grayscale levels, Area-fill attributes, Character attributes,

Bundled attributes.

UNIT II

Two dimensional geometric transformations: Basic Transformation (Translation, Rotation,

Scaling), Matrix representation and homogenous coordination, Composite Transformation,

Reflection, Shear. Two dimensional viewing: The viewing Pipe-line, Viewing Coordinate

Reference frame, Window-to-viewport coordinate transformation. Clipping: Line Clipping

(Cohen Sutherland Algorithm), Polygon clipping (Sutherland-Hodgemen Algorithm)

UNIT III

Three dimensional object representation: Polygon Surfaces, Quadratic surfaces, Spline

Representations, Beizer Curves and surfaces, B-Spline Curves and surfaces

UNIT IV

Three dimensional geometric and modeling transformations: Translation, Rotation,

Scaling, Reflections, Shears, Composite Transformation. Three dimensional viewing:

Viewing pipeline, Viewing coordinates, Projections (Parallel and Perspective).

UNIT V

Visible-surface detection methods: Classification of visible-surface detection algorithms,

back-face detection, Depth-Buffer method, A-Buffer method, Scan-line method, Depth-

sorting method. Illumination Models: Basic illumination models, Displaying light

intensities, Halftone Patterns and Dithering Technique, Polygon Rendering

Methods,(Gouraud and phong shading)

Text Book :-

1. Computer Graphics C Version, by D. Heam and M. P. Baker, 2nd Edition, Pearson

Education, 2002.

Practical

Background concept of enabling graphics mode in C and usage of various graphic functions

available in graphics.h, Simple animation programs using graphics library, Implementation of

DDA and Bresenham’s line drawing, Mid point circle algorithms in C, Writing program in C

to implementation translation, rotation, scaling, line clipping, polygon clipping.

Mobile Communications (MITM-1.1.3) Full marks – 100 (Mid Semester: 20; End Semester: 80)

UNIT I

Introduction to Wireless Networks: Evolution of Wireless Networks, Applications,

Challenges, Overview of various Wireless Networks.

Wireless transmission: Frequencies for radio transmission, signals, antennas, Signal

propagation.

Multiplexing (Space Division Multiplexing, Frequency Division Multiplexing, Time Division

Multiplexing, Code Division Multiplexing, Orthogonal Frequency Division Multiplexing),

Modulation(Amplitude shift keying, Frequency shift keying, Phase shift keying), spread

spectrum (Direct Sequence Spread Spectrum ,Frequency Hopping Spread Spectrum).

UNIT II

Motivation for a specialized MAC: Hidden and exposed terminal, Near and far terminals.

SDMA, FDMA, TDMA: Fixed TDM, Classical Aloha, Slotted Aloha, Carrier sense multiple

access, Demand assigned multiple access, PRMA packet reservation multiple access,

Reservation TDMA, Multiple access with collision avoidance, Polling, Inhibit sense multiple

access, CDMA: Spread Aloha multiple access

UNIT III

GSM: Mobile services, System architecture, Radio interface, Protocols, Localization and

calling, Handover, Security, New data services,

Mobile IP : Goals, assumptions and requirements, Entities and terminology, IP packet

delivery, Agent discovery, Registration, Tunneling and encapsulation, Optimizations,

Reverse tunneling , IPv6, IP micro-mobility support

UNIT IV

Wireless LAN : Infra red vs radio transmission, Infrastructure and ad-hoc network,

IEEE 802.11: System architecture, Protocol architecture, Physical layer(FHSS,DSSS),

Medium access control layer (Basic DFWMAC-DCF using CSMA/CA, DFWMAC-DCF

with RTS/CTS extension, DFWMAC-PCF with polling), MAC frames, MAC

management(Registration,Handoff, Power Management).

UNIT V

Third Generation (3G) Cellular Systems: Introduction, 3G Spectrum Allocation, Third

Generation Service Classes and Applications, Third Generation Standards.

Fourth Generation (4G): Introduction, Design Goals for 4G and Beyond and Related

Research Issues, 4G Services and Applications, Challenges.

Text Book:

1. Mobile Communications, by Jochen Schiller, 2nd Edition, Addison Wesley, 2003

Reference:

1. Wireless Networks, by P. Nicopolitidis, M. S. Obaidat, G. I. Papadimitriou, A. S.

Pomportsis, John Wiley.

2. Principle of Wireless Networks, by Kaveh Pahlavan and Prashant Krishnamurthy.

Probability and Stochastic Process (MITM-1.1.4)

Full marks – 100 (Mid Semester: 20; End Semester: 80)

UNIT I

Probability: Introduction to Probability, Sample Space and Events, The complement of an

Event, Mutually Exclusive Events, Additional Rules for Probability, Independent and

Dependent Events, Conditional Probabilities, , Bayes Formula.

UNIT II

Random variables-What is random variable. Cumulative distribution function, Discrete

Random Variables: Definition of probability mass function, The Bernoulli Random Variable,

The Binomial Random Variable, The Geometric Random Variable, The Poisson Random

Variable.

Continuous Random Variables: Definition of probability density function, The Uniform

Random Variables, Exponential Random Variables, Gamma Random Variables, Normal

Random Variables.

UNIT III Expectation of Random Variables: The Discrete Case and the Continuous Case. Expectation

of a Function of a Random Variables, Jointly Distributed Random Variables: Joint

Distribution Function, Independent Random Variables. Covariance and Variance, Moment

Generating Functions. Markov’s and Chebyshey’s Inequality, Central Limit Theorem.

UNIT IV

Stochastic processes: Definition with examples, Markov chains, Chapman Kolmogorov

equations, Classification of states, Limiting Probabilities, some applications: The gambler’s

Ruin problem.

The Exponential Distribution: Definition, Properties of the Exponential Distribution.

The Poisson Process: Counting Processes, Definition of Poisson Process, Inter-arrival and

Waiting Time Distributions, Properties of Poisson Processes, Conditional Distribution of the

Arrival Times.

UNIT V

Continuous-time Markov Chains. Birth-and-death processes, Transition probability function,

Limiting Probability.

Queuing Theory: Preliminaries, Steady State Probabilities, A single Server Exponential

Queuing System (M/M/1), A single server Exponential Queuing System Having Finite

Capacity, Network of Queues. A Queuing System with Bulk Service.

Text Books:

1. Introduction to Probability Models by Sheldon M. Ross, Academic Press Harcourt India

Private Limited.

2. An Introduction to Probability and Statistics by V. K. Rohatgi and A.K. Md. Ehasanes

Saleh, Second edition, John Wiley and Sons.

Human Resource Management (MITM-1.1.5) Full marks – 100 (Mid Semester: 20; End Semester: 80)

UNIT I

Concept, Meaning and Definition of HRM, Nature of HRM, Scope of HRM, Objectives of

HRM, Functions of HRM, Role of HR Managers. Meaning of HRP, Objectives of HRP,

Need for HRP in Organizations, HRP Process.

UNIT II

Meaning and Definition of Job Analysis, Uses of Job Analysis, Steps in Job Analysis,

Methods of Collecting Job Analysis Data, Job Design, Job Specification, Job Description.

UNIT III

Employee Procurement: Meaning and Definition of Recruitment, Process of Recruitment,

Sources of Recruitment. Compulsory Notification of Vacancies Act 1960 and Govt.

Reservation Policy. Meaning and Definition of Selection, Selection Procedure.

UNIT IV

Meaning and Concepts of Employee Training, Training and Learning, On-the-job Methods

and Off-the-job Methods, Employee Evaluation: Modern Appraisal Methods.

UNIT V

Traditional vs. Modern Compensation Management. Recent Trends in HRM (only concepts):

Employer Brand, Competency Mapping, Business Process Outsourcing, HR Balance

Scorecard, HR Matrix, Talent Management, HR Audit and HR Accounting.

Text Book:-

1. Human resource management(Text and cases) by P. Subba Rao, Himalaya Publishing

House, India

2. Human resource management by K. Aswathappa, Tata McGraw Hill.

SECOND SEMESTER

Artificial Intelligence (MITM-1.2.1)

Full marks – 100 (Mid Semester: 20; End Semester: 80)

UNIT I

Introduction to AI, Application areas of AI, State-space search: production system design,

production system characteristics.

Search techniques

Blind search: depth first search, breadth first search

Heuristic search techniques: Hill climbing, best first search. Branch and bound, A*, AO*

UNIT II

Game playing: Min- Max search, Alpha- Beta cutoff

Knowledge Logic: Propositional logic, Predicate logic, Unification algorithm, Resolution

Prolog: function, syntax and predicate, cut( blue cut, green cut, red cut)

UNIT III

Structured knowledge representation: semantic nets, frames, conceptual dependency, scripts.

Expert system: expert system need & justification, rule bases architecture.

Non-production system architecture

UNIT IV

Concept of learning, types of learning, genetic algorithm, neural networks.

Natural language processing: introduction syntactic processing, semantic analysis, discourse

and pragmatic processing.

Knowledge organization & Management: Introduction, HAM

UNIT V

LISP: syntax and numeric functions. Basic list manipulation function, functions, predicate

and conditionals, input, output and local variables, iteration and recursion, property list and

array

Text Book:

1. Introduction to Artificial Intelligence and Expert Systems, by D. W. Paterson, Prentice

Hall.

2. Artificial Intelligence, E. Ritche, K. Knight and S. B. Nair, 3rd Edition, McGraw Hill, 2009

3. Artificial Intelligence: A Modern Approach, Stuart Russell and Peter Norvig, Prentice

Hall.

Data Mining and Data Warehousing (MITM-1.2.2)

Full marks – 100 (Mid Semester: 20; End Semester: 80)

UNIT I

Introduction: Fundamentals of data mining, Data Mining Functionalities, Classification of

Data Mining systems, Data Mining Task Primitives, Integration of a Data Mining System

with a Database or a Data Warehouse System, Major issues in Data Mining. Data

Preprocessing: Need for Preprocessing the Data, Data Cleaning, Data Integration and

Transformation, Data Reduction, Discretization and Concept Hierarchy Generation.

UNIT-II

Data Warehouse and OLAP Technology for Data Mining: Data Warehouse,

Multidimensional Data Model, Data Warehouse Architecture, Data Warehouse

Implementation, Further Development of Data Cube Technology, From Data Warehousing to

Data Mining Data Cube Computation and Data Generalization: Efficient Methods for Data

Cube Computation, Further Development of Data Cube and OLAP Technology, Attribute-

Oriented Induction.

UNIT-III

Mining Frequent Patterns, Associations and Correlations: Basic Concepts, Efficient and

Scalable Frequent Itemset Mining Methods, Mining various kinds of Association Rules,

From Association Mining to Correlation Analysis, Constraint-Based Association Mining.

UNIT-IV

Classification and Prediction: Issues Regarding Classification and Prediction, Classification

by Decision Tree Induction, Bayesian Classification, Rule-Based Classification,

Classification by Backpropagation, Support Vector Machines, Associative Classification,

Lazy Learners, Other Classification Methods, Prediction, Accuracy and Error measures,

Evaluating the accuracy of a Classifier or a Predictor, Ensemble Methods.

UNIT-V

Cluster Analysis Introduction :Types of Data in Cluster Analysis, A Categorization of Major

Clustering Methods, Partitioning Methods, Hierarchical Methods, Density-Based Methods,

Grid- Based Methods, Model-Based Clustering Methods, Clustering High-Dimensional Data,

Constraint-Based Cluster Analysis, Outlier Analysis.

Text Book:-

1. Data Mining – Concepts and Techniques – J. Han and M. Kamber, Morgan Kaufmann

Publishers, Elsevier,2nd Edition, 2006.

2. Introduction to Data Mining – P. Tan, M. Steinbach and V. Kumar, Pearson Education.

Design and Analysis of Algorithms (MITM-1.2.3)

Full marks – 100 (Mid Semester: 20; End Semester:

50(Theory)+30(Practical))

UNIT I

Algorithm, Space and Time Complexity, Asymptotic notation, worst case, best case and

average case, Insertion sort, Substitution method, Recursion-tree method, master method.

UNIT II

Divide and conquer technique, Quick sort , Randomized quick sort, Priority Queue, Heap

Sort, Rabin-Karp String Matching, Miller-Rabin Primality Test, Binary Search, Finding

Minimum Maximum, Merge Sort.

UNIT III

Greedy method, Activity selection problem, Huffman Codes, Fractional Knapsack, Job

sequence with deadlines, Minimum Cost Spanning Trees-Prim’s and Kruskal’s algorithm.

UNIT IV

Dynamic programming, Matrix chain multiplication, Longest Common Subsequence,

Travelling Salesman Problem, Single Source Shortest Path: The Bellman Ford algorithm,

Dijkstra’s Algorithm, All pair Shortest path: Floyd Warshall algorithm, Backtracking,

Eightqueens Problem, Subset Sum Problem.

UNIT V

Complexity Class: P, NP, NP-Hard, NP Completeness and reducibility, P Space, NP Space,

Clique, Vertex Cover, Hamiltonian Cycle, Approximation Algorithm: Vertex Cover problem,

Approximation algorithm for travelling-salesman problem.

Text Books:

1. Fundamentals of Computer Algorithms by Ellis Horowitz, Sartaj Sahani, 2nd Edition,

Universities Press.

2. Introduction to Algorithms by Thomas H. Cormen, 3rd Edition, MIT Press.

Practical

Writing an efficient sorting algorithm. (Quick Sort, Merge sort, Heap sort), Designing

efficient algorithm for inserting, deleting and searching in a binary tree, Minimum cost

spanning tree (Prims and Kruskal ), Activity selection problem, Longest Common

Subsequence, Travelling salesman problem.

Wireless Sensor Networks (MITM-1.2.4)

Full marks – 100 (Mid Semester: 20; End Semester: 80)

UNIT I

Networked wireless sensor devices, Applications, Key design challenges.

Network deployment: Structured versus randomized deployment, Network topology,

Connectivity, Connectivity using power control, Coverage metrics, Mobile deployment.

UNIT II

Localization: issues & approaches, Coarse-grained & Fine-grained node localization,

Network-wide localization, Theoretical analysis of localization techniques.

Synchronization: Issues & Traditional approaches, Fine-grained clock synchronization, and

Coarse-grained data synchronization.

UNIT III

Wireless characteristics: Basics, Wireless link quality, Radio energy considerations, SINR

capture model for interference.

Medium-access and sleep scheduling: Traditional MAC protocols, Energy efficiency in MAC

protocols, Asynchronous sleep techniques, Sleep-scheduled techniques, and Contention-free

protocols.

Sleep-based topology control: Constructing topologies for connectivity, constructing

topologies for coverage

UNIT IV

Routing: Metric-based approaches, Routing with diversity, Multi-path routing, Lifetime-

maximizing energy-aware routing techniques, Geographic routing, Routing to mobile sinks.

Data-centric networking: Data-centric routing, Data-gathering with compression, Querying,

Data-centric storage and retrieval, The database perspective on sensor networks.

UNIT V

Dependability issues: Security Challenges, Threat and attack models, Quality of Service

provisioning, Clock Synchronization, Supporting fault tolerant operations. Introduction to

Tiny OS, Nes C, Sensor Simulator.

Text Books:

1. Wireless Sensor Networks: Technology, Protocols, and Applications: Kazem Sohraby,

Daniel Minoli, Taieb Znati , Wiley Inter Science.

2. Wireless Sensor Networks: Architectures and Protocols: Edgar H. Callaway, Jr. Auerbach

Publications, CRC Press.

3. Wireless Sensor Networks: Edited by C.S Raghavendra, Krishna M, Sivalingam, Taieb

Znati , Springer.

Customer Relationship Management (MITM-1.2.5) Full marks – 100 (Mid Semester: 20; End Semester: 80)

UNIT I

Customer relationship management concepts– Introduction, Evolution of CRM, Schools of

thought on CRM (The Anglo-Australia Approach; The Nordic Approach; The North

American Approach), Benefits of CRM, Factors for the Growth of CRM, Traditional

Marketing vs Relationship Marketing

UNIT II

Models of CRM (IDIC model, QCI model, CRM Value Chain Model), Principles of CRM,

Brand Loyalty, Brand Relationship Management Process, Elements of CRM, CRM Process,

Strategies for customer Retention, Strategies for Customer Acquisition

UNIT III

Customer information Database - Customer Information, Information to be included in

Customer Database, Benefits of a Customer Database, Customer Profile Analysis,

Components of Customer profile, Factors influencing Customer Expectation of Service,

Customer Perception Analysis, Factors influencing Customer Perception Analysis, Customer

Behaviour, Factors influencing consumer behavior, Customer Lifetime Value, Selection of

Profitable customer segments

UNIT IV

COPA – Consumer Protection Act 1986, Salient Features of Consumer Protection Act 1986,

Goods and Services covered under COPA 1986, Filing of Complaints – Who can file a

complaint; What complaints can be filed; Where to file a complaint; How to file a complaint;

What are the reliefs available to consumers? Time limit for filing the case; Machinery for

Settlement of Grievances

UNIT V

e-CRM Introduction, Importance of e-CRM, Challenges involved in formulating and

implementing e-CRM strategies, Data Warehousing, Data Mining in CRM – Components of

Data Mining, Issues and challenges in Data Mining

Text Books:

1. Customer Relationship Management, by Stanley A. Brown, John Wiley & Sons, Canada,

Ltd.

2. Customer Relationship Management, by Jagdish Seth et al.

3. CRM At The Speed Of Light: Capturing and Keeping Customers In Internet Real Time, by

Paul Greenberg.

4. The CRM Handbook: A Business Guide To Customer Relationship Management, by Jill

Dyche, Addison Wesley Information Technology Series.

5. Harvard Business Review On Customer Relationship Management, by Patrica and

Ramaswamy.

6. Customer Relationship Management, by Kristin L. Anderson and Carol J Kerr.

THIRD SEMESTER

Software Evolution (MITM-2.3.1)

Full marks – 100 (Mid Semester: 20; End Semester: 80)

UNIT I

Introduction to Evolution and Maintenance, Classification of Software Maintenance:

Intention-based, Activity-based, and Evidence-based. Categories of Maintenance Concepts:

Product, Types, Organization Processes, Peopleware. Evolution of Software Systems: SPE

Taxonomy, Laws of S/W Evolution, Emperical Studies, Evolution of FOSS Systems,

Maintenance of COTS-based Systems.

Maintenance Models: Reuse-Oriented Model, Staged-Model for Closed Source

Software(CSS) and Open Source Software (OSS), and Change Mini-Cycle Model,

IEEE?EIA and ISO/IEC Maintenance Process, Software Configuration Management.

UNIT II Reengineering Concepts, A General Model of Software Reengineering, Reengineering

Process, Code Reverse Engineering, Techniques used for Reverse Engineering, De-

compilation Versus Reverse Engineering, Data Reverse Engineering, Reverse Engineering

Tools.

Legacy Information Systems, Wrapping, Migration, Migration Planning, Migration Methods:

Cold Turkey, Database First, Database Last, Composite Database, Chicken Little, Butterfly,

Iterative.

UNIT III

Impact Analysis, Impact Analysis Process: Identifying the SIS, Analysis of Traceability

Graph, Identifying the Candidate Impact Set, Dependency-Based Impact Analysis: Call

Graph, Program Dependency Graph, Ripple Effect, Computing Ripple Effect, Change

Propagation Model: Recall and Precision of Change Propagation Heuristics, Heuristics for

Change Propagation, Empirical Studies.

UNIT IV

Re-factoring, Activities in a Re-factoring Process, Formalisms for Re-factoring: Assertions,

Graph Transformation, Software Metrics, Examples of Re-factorings,

Initial Work on Software Restructuring, Factors Influencing Software Structure,

Classification of Restructuring Approaches, Restructuring Techniques.

Reuse: Benefits of Reuse, Reuse Models, Factors Influencing Reuse, Success Factors of

Reuse. Reuse Capability, Economic Models of Software Reuse: Cost Model of Gaffney and

Durek, Cost Model of Gaffney and Cruickshank, Business Model of Poulin and Caruso.

Domain Engineering, Application Engineering, Domain Engineering Approaches.

Unit V

Program Comprehension, Goal of Code Cognition, Knowledge, Mental Model,

Understanding Code, Cognition Models for Program Understanding: Letovsky Model,

Shneiderman and Mayer Model, Brooks Model, Soloway, Adelson, and Ehrlich Model,

Pennington Model, Integrated Meta-model, Protocol Analysis, Visualization for

Comprehension.

Text Book:

1. .Software Evolution and Maintenance: A Practitioner’s Approach, Priyadarshi (Piyu)

Tripathy, and Kshirasagar (Sagar) Naik, Wiley, Hoboken, NJ, 2015.

Reference Book:

1. Software Maintenance Concepts and Practice, Grubb P. and Takang A, 2e, World

Scientific, 2003.

Cryptography and Network Security (MITM-2.3.2)

Full marks – 100 (Mid Semester: 20; End Semester: 80)

UNIT I

Security Attacks (Interruption, Interception, Modification and Fabrication), Security

Services (Confidentiality, Authentication, Integrity, Non-repudiation, Access Control

and availability) and mechanisms, OSI Security Architecture, Cryptography,

Cryptanalysis, Symmetric Cipher Model, Substitution Technique: Monoalphabetic

Ciphers, Polyalphabetic Ciphers(Playfair, Vigenere, Hill), Transposition Technique.

UNIT II

Data Encryption Standard (DES), Block Cipher Principles, Stream Cipher, Block Cipher,

Strength and Weakness of DES, Advanced Encryption Standard (AES).

UNIT III

Modular Arithmetic, Euclid’s Algorithm, Finite Fields of the form GF(P), Principle of

Public Key Cryptosystems, Applications for Public Key Cryptosystems, The RSA

Algorithm, Diffie Hellman Key Exchange.

UNIT IV

Authentication Requirement, Authentication Functions: Message Encryption, Message

Authentication Code, Hash Function, Message Digest Algorithm: MD5.

UNIT V

Digital Signatures: Direct Digital Signature, Arbitrated Digital Signature, Authentication

Protocol: Mutual Authentication, Symmetric Encryption Approach, Public Key

Encryption Approach, Digital Signature Standard, Kerberos (Version 4).

Text Books:

1. Cryptography and Network Security Principles and Practices by William Stallings.

2. Cryptography and Network Security by Behrouz A. Forouzan.

IT Infrastructure Design (MITM-2.3.3) Full marks – 100 (Mid Semester: 20; End Semester: 80)

UNIT I

Overview of Analysis, Architecture, and Design Processes: Process Components , Tactical

and Strategic Significance, Hierarchy and Diversity, Importance of Network Analysis, Model

for Network Analysis, Architecture, and Design

A Systems Methodology, System Description, Service Description, Service Characteristics:

Service Levels, System Components and Network Services, Service Requests and

Requirements, Service Offerings, Service Metrics.

Performance Characteristics: Capacity, Delay, RMA, Performance Envelopes, Network

Supportability

Network Architecture: Component Architecture –Routing, Network Management,

Performance, Security.

Architectural models: topological, flow model, Functional model.

UNIT II

Enterprise LAN Design: Ethernet Design Rule. 100 Mbps Fast Ethernet Design rules, gigabit

Ethernet Design Rules, 10 Gigabit Ethernet Design rules, 10GE Media types

Understanding Working of Repeater, hub, Bridge, routers, Layer2/3 Switch,

Campus LAN Design Best Practice, Server Farm Design, Campus LAN QoS consideration,

Multicast Traffic Consideration

UNIT III

Routing Protocol Characteristics, Static Versus Dynamic Route Assignment, Interior Versus

Exterior Routing Protocols, Distance-Vector Routing Protocols, EIGRP, Link-State Routing

Protocols, Distance-Vector Routing Protocols Versus Link-State Protocols, Hierarchical

Versus Flat Routing Protocols, Classless Versus Classful Routing Protocols, Administrative

Distance. Routing Protocol Metrics and Loop Prevention: Hop Count , Bandwidth, Cost,

Load, Delay, Reliability ,Maximum Transmission Unit ,

Routing Loop-Prevention Schemes: Split Horizon, Poison Reverse, Counting to Infinity ,

Triggered Updates

RIPv2: Authentication, MD5 Authentication, RIPv2 Routing Database, RIPv2 Message

Format, RIPv2 Timers, RIPv2 Design, RIPv2

RIPng: RIPng Timers, Authentication, RIPng Message Format, RIPng Design

OSPF: Metric, Adjacencies and Hello Timers, OSPF Areas,OSPF Router Types, OSPF DRs,

LSA Types

EIGRP: Components , Neighbor Discovery and Recovery , Timers, Packet Types, Design

UNIT IV

Server-Centric IT architecture and its Limitations, Storage-centric IT Architecture and its

Advantages.

Intelligent Disk Subsystems: Architecture, Storage Virtualization using RAID, RAID levels,

I/O Techniques: SCSI, Fibre Channel Protocol stack, Fibre Channel SAN, IP Storage.

UNIT V

Enterprise Wireless LAN Architecture: Components of Centralize Architecture:

understanding 802.11X standards. WLAN technologies (Narrow Band, Spread Spectrum,

FHSS, DSS) and topologies,

Wireless Network Components: Access Point and NICs, Router etc; WLAN enterprise

design, WLAN performance, WLAN monitoring and troubleshooting, WLAN security. Intra

and inter controller roaming.

Text Books:

1. Network Analysis, Architecture, and Design, James D. McCabe, 3rd Edition, Morgan Kaufman 2. CCDA Cisco official Guide

3. Storage Networks explained by Ulf Troppen, Wiley.

4. Storage Network Management and Retrieval by Dr. Vaishali Khairnar, Nilima Dongre, Wiley, India

Internet of Things (MITM-2.3.4) Full marks – 100 (Mid Semester: 20; End Semester: 80)

UNIT-I

INTRODUCTION& CONCEPTS: Introduction to Internet of Things, Definitions and

Characteristics of IoT, Physical Design of IoT, Things in IoT, IoT Protocols, Logical Design

of IoT, IoT Functional Blocks, IoT Communication Models, IoT Communication APIs, IoT

Enabling Technologies, Wireless Sensor Networks, Cloud Computing, Big Data Analytics,

Communication Protocols, Enbeedded Systems, IoT levels and Development Templates, IoT

Level-1, IoT Level-2, IoT Level-3, IoT Level-4, IoT Level-5, IoT Level-6.

Textbook 1:1.1 – 1.5

UNIT-II

IoT and M2M, Introduction, M2M, Difference between IoT and M2M, SDN and NFV for

IoT, Software Defined Networking, Network Function Virtualization, IoT Platform Design

Methodology, Introduction, IoT Design Methodology, Step1: Purpose and requirement

specification, Step2: Process Specification, Step 3: Domain Model Specification, Step 4:

Information Model Specification, Step 5: Service Specification, Step 6: IoT Level

Specification, Step 7: Function View Specification, Step 8: Operational View Specification,

Step 9: Device and Component Integration, Step 10: Application Development, IoT System

Logocal Design Using Python, Introduction, Installing Python, Python Data Types and Data

Structures, Control Flow, Functions, Modules, Packages, File Handling, Date Time

applications, Classes, Python Packages of Interest for IoT.

Textbooks 1:3.1-3.4, 5.1-5.4, 6.1-6.11

UNIT-III

IoT Physical Devices and End Points: What is and IoT Device, Exemplary Device Raspberry

Pi, About the Board, Linux on Raspberry Pi, Raspberry pi interfaces, programming raspberry

pi with python, other IoT devices. IoT physical servers and cloud offerings: introduction to

cloud storage models and communication Networks, wamp-autobahn for IoT, xively cloud

for IoT, python web application frame work-django, designing a RESTful web API, amazon

web services for IoT, SkyNetIoT messaging platforms.

Textbook 1: 7.1-7.7, 8.1-8.7

UNIT-IV

Data Analytics for IoT; Introduction AppacheHadoop, using HadoopMapReduce for Batch

Data Analysis, Apache oozie, Apache Spark, Apache Storm, using Apache Storm for Real-

time Data Analysis.

Textbook 1: 10.1 -10.8

UNIT-V

Ethics: Characterizing the IoT, Privacy, Control, Distributing Control and Crowd Sourcing,

Environment, Physical Thing, Electronics, Internet Service, Solutions, Internet of Things as

Part of Solution, Cautious Optimizing, The Open IoT definition.

Textbook 2: Chapter 11

Text Books:

1. Internet Of Things-A Hands on Approach, by Arshdeep Bahga and Vijay Madisetti,

University of Penn, http://www.internet-of-things-book.com/

2. Designing the Internet of Things, by Adrian McEwen and Hakim Cassimally, Wiley

Publication.

Reference Books:

1. Internet of Things: Converging Technologies for Smart Environments and Integrated

Ecosystems. By Ovidiu Vermesan and Peter Friess, River Publishers Series in

Communication.

Business Research Development (MITM-2.3.5) Full marks – 100 (Mid Semester: 20; End Semester: 80)

UNIT I

Research Introduction, Nature of Business Research, Importance of Research, Research

Process, Types of Business Research, Plagarism

UNIT II

Data Collection, Methods of Data Collection, Guidelines for constructing questionnaire/

schedule, Introduction to sampling, Types of Sample.

UNIT III

Attributes of a research scholar, The Computer: Its role in research, Internet as a medium for

research, Introduction to Impact Factor, Citation Index, Survey Monkey, Google Docs and

SPSS

UNIT IV

Measures of Central Tendency: Mean, Median, Mode. Karl Pearson Correlation, Spearman’s

Rank Correlation and Regression.

UNIT V

Only Simple Problems from Small Sample tests: t-test, F-test, z-test and Large Sample tests:

Chi- square test, One-way ANOVA.

Text Books:

1. Fundamentals of Research - Dissective View, by Priyanka Tripathy and Pradip Kumar

Tripathy, Anchor Academic Publishing, e – book ISBN: 978-3-95489-894-7, 2015, Germany.

2. Research Methodology Methods and Techniques, by C.R. Kothari, New Age International

Publishers.

3. Statistics for Business and Economics, by Jit S. Chandran, Vikas Publishing House.

4. Statistics of Management, by Levin and Rubin, Prentice Hall of India.

5. Fundamentals of statistics (Vol. I & II), by Goon, Gupta and Dasgupta, World Press Pvt.

Ltd.

6. A first course in statistics with applications, by A.K. P.C. Swain, Kalyani Publishers.

7. Quantitative Methods, by Saha and Chakrabarty, TMH.

FOURTH SEMESTER

Cloud Computing (MITM-2.4.1 A)

Full marks – 100 (Mid Semester: 20; End Semester: 80)

UNIT I

Cloud computing definition, Private, public and hybrid cloud, Types of cloud services: IaaS,

PaaS, SaaS, Benefits and challenges of cloud computing, Evolution of cloud computing,

Usage scenarios and applications, Business models around cloud, Major players in cloud

computing, Issues in cloud, Eucalyptus, Nimbus, Open Nebula, CloudSim.

UNIT II

Software as a Service, Platform as a Service, Infrastructure as a Service, Database as a

Service, Monitoring as a Service, Communication as a Service, Service providers: Google

App Engine, Amazon EC2, Microsoft Azure, Sales force, Introduction to MapReduce, GFS,

HDFS, Hadoop Framework.

UNIT III

Collaborating on Calendars, Schedules and Task Management, Collaborating Event

Management, Contact Management, Project Management, Collaborating on Word

Processing, Database: Storing and Sharing Files, Collaborating via Web-based

communication tools, Evaluating Web mail Service, Collaborating via Social Networks,

Collaborating via Blogs and Wikis.

UNIT IV

Need for Virtualization, Pro and Cons of Virtualization, Types of Virtualization, System VM,

Process VM, Virtual Machine Monitor, Virtual Machine Properties, Interpretation and binary

Translation, HLL VM, Hypervisors, Xen, KVM, VMWare, Virtual Box, Hyper – V.

UNIT V

Cloud security challenges, Software as a Service Security, Common Standards, The Open

Cloud Consortium, The Distributed Management Task Force, Standards for application

developers, Standards for Messaging, Standards for Security, End user access to cloud

computing, Mobile Internet device and the cloud.

Text Books:

1. Cloud Computing for Dummies, by J. Hurwitz , R. Bloor, M. Kanfman, and F. Haiper,

Wiley India Edition, 2010 (Unit I).

2. Cloud Computing Implementation Management and Security by J. Rittinghouse and J.

Ransome, CRC Press, 2010 (Unit II).

3. Cloud Computing: A Practical Approach by A. Velte, T. Velte and R. Elsenpeter, Tata

McGraw Hill, 2009 (Unit II).

4. Cloud Computing: Web-based Applications That Change the Way You work and

Collaborate Online by M.. Miller, Que Publishing, August 2008 (Unit III).

5. Virtual Machines by J. E. Smith and R. Nair, Morgan Kaufmann Publishers, 2006 (Unit

IV).

6. http://cloud-standards.org/wiki/index.php?title=Main_Page (Unit –V).

Reference Books:

1. Architecting the Cloud: Design Decisions for Cloud Computing Service Models (SaaS,

PaaS, and IaaS), by M. Kavis, Wiley, 2014.

2. Mastering In Cloud Computing by R. Buyya, C. Vecchiola and T. Selvi, Tata Mcgraw-Hill

Education, 2013.

3. Cloud Computing: SaaS, PaaS, IaaS, Virtualization, Business Models, Mobile, Security

and more by K. Jamsa, Jones & Bartlett Learning Company LLC, 2013.

Bioinformatics (MITM-2.4.1 B)

Full marks – 100 (Mid Semester: 20; End Semester: 80)

UNIT I

What is bioinformatics: an introduction and overview, application of bioinformatics in

various fields of biology, scope of bioinformatics, overview of available bioinformatics

resources on web: NCBI, EBI,EXPASY.

UNIT II

Genome sequence, ORFs, genes, DNA, structure properties and classification of amino acids,

primary, secondary and quaternary structure of proteins, globular protein, protein folding,

Protein tertiary Structure.

UNIT III

Basic concepts of sequence alignment: pairwise and multiple sequence alignment,

significance of these methods in sequence analysis. Introduction to different online tools for

sequence alignment, and interpretation of results.

Phylogeny: Phylogenetic analysis, Definition and description of phylogenetic trees and

various types of trees, Method of construction of Phylogenetic trees [distance based method

(UPGMA, NJ), Maximum Parsimony and Maximum Likelihood method]

UNIT IV

Current Advancements in Bioinformatics: Introduction to System Biology, Structural

bioinformatics, Prediction of secondary structure- PHD and PSI-PRED methods. Tertiary

Structure: homology modeling, fold recognition and ab-initio approaches. Structures of

oligomeric proteins and study of interaction interfaces, Chemoinformatics,

Immunoinformatics.

UNIT V

Overview of biological database, global biological database search, overview of various

databases as follows:

Literature/Bibliographical database: PubMed, Nucleic acid sequence database: GenBank,

EMBL, Protein sequence database: Uni Prot, PIR, TrEMBL, Protein family and domain

database: Pfam, SMART, InterProscan, Prosite, BLOCKS, Superfamily, Gene3D,

ProDom,PRINTS, Metabolic Pathway databae:KEGG, MetaCyc, BioCyc, Protein structure

database: PDB, CATH, SCOP, DALI, Enzyme, compound and reaction database: PubChem,

LIGAND, BRENDA, ENZYME, Protein-protein interaction database: STRING, DIP, MINT,

BIND

Text Books:

1. Introduction to Bioinformatics by Aurther M lesk.

2. Developing Bioinformatics Computer Skills, by Cynthia Gibas and Per Jambeck.

3. Structural Bioinformatics, by J. Gu and P. Bourne (Edited), Wiley-Blackwell, 2009.

Digital Image Processing (MITM-2.4.2 A) Full marks – 100 (Mid Semester: 20; End Semester: 80)

UNIT I Digital Image Fundamentals & Image Transforms: Digital Image Fundamentals, Sampling

and Quantization, Relationship between Pixels. Image Transforms: 2-D FFT, Properties,

Walsh Transform, Hadamard Transform, Discrete Cosine Transform, Haar Transform, Slant

Transform, KL Transform.

UNIT II Image Enhancement (Spatial Domain): Introduction, Image Enhancement in Spatial Domain,

Enhancement Through Point Operation, Types of Point Operation, Histogram Manipulation,

Linear and Non — Linear Gray Level Transformation, Local or Neighborhood Operation,

Median Filter, Spatial Domain High-Pass Filtering. Image Enhancement (Frequency

Domain): Filtering in Frequency Domain, Obtaining Frequency Domain Filters from Spatial

Filters, Generating Filters Directly in the Frequency Domain, Low Pass (Smoothing) and

High Pass (Sharpening) Filters in Frequency Domain.

UNIT III

Image Restoration: Image Degradation, Types of Image Blur, Algebraic Approach to

Restoration, Inverse Filtering, Least Mean Square Filters, Constrained Least Squares

Restoration, Interactive Restoration. Image Denoising: Classification Noise in Image, Median

Filtering, Trimmed Avarage Filter, Performance metrics in Image Restoration.

UNIT IV

Image Segmentation: Detection of Discontinuities, Edge Linking And Boundary Detection,

Thresholding, Region Oriented Segmentation. Morphological Image Processing: Dilation and

Erosion: Dilation, Structuring Element Decomposition, Erosion, Combining Dilation and

Erosion, Opening and Closing, The Hit or Miss Transformation.

UNIT V Image Compression: Redundancies and their Removal Methods, Fidelity Criteria, Image

Compression Models, Huffman and Arithmetic Coding, Error Free Compression, Lossy

Compression, Lossy and Lossless Predictive Coding, Transform Based Compression, JPEG

2000 Standards.

Text Books:

1. Digital Image Processing, by Rafael C. Gonzalez and Richard E. Woods, 3rd Edition,

Pearson, 2008

2. Digital Image Processing, by S. Jayaraman, S. Esakkirajan and T Veerakumar, TMH,

2010.

Reference Books:

1. Digital Image Processing and Analysis-Human and Computer Vision Application with

using CVIP Tools, by Scotte Umbaugh, 2nd Edition, CRC Press, 2011

2. Digital Image Processing using MATLAB, by Rafael C. Gonzalez, Richard E Woods and

Steven L. Eddings, 2nd Edition, TMH, 2010.

3. Fundamentals of Digital Image Processing, by A. K. Jain, PHI, 1989

EMBEDDED SYSTEMS (MITM-2.4.2 B) Full marks – 100 (Mid Semester: 20; End Semester: 80)

UNIT I

Introduction to embedded systems, classifications, processor in the system, microcontroller,

introduction: 8051 architecture, features of 8051, basic assembly language programming

concepts,instruction set, data transfer, logical operations, arithmetic operations, jump/call

instructions, interrupt handler, addressing modes, an 8051 microcontroller design & testing

UNIT II

Interfacing of Keyboard, displays, ADC/DAC, stepper motor, dc motor; serial

communication with PC using RS232, Serial Peripheral Interface (SPI), Inter-Integrated

Circuit (I2C), serial communication with other microcontrollers/devices using I2C, SPI,

RS232 and USB

UNIT III

Introduction to 16-bit micro-controllers, ATMEGA, PIC and ARM processors: General

architecture and their limitations, clocking unit, Real Time Clock and Timers, Reset Circuitry

and Watchdog Timer; development tools: ATMEL assembler and simulator, ATMEL AVR

studio; robotic control applications

UNIT IV

Basic functions of PLC, advantages over microcontroller, basic architecture, register basics,

timer functions, counter function, ladder diagram, overview of PLC systems, I/O modules,

power supplies,isolators, programming PLC, Alarm signal generation for a process (e.g.

heating, cooling or threshold of a process etc.), direct digital control (DDC) algorithm

Unit V

Operating system services, I/O subsystem, Network operating system, Real Time and

embedded system, Need of well tested and debugged Real time operating system (RTOS),

Introduction to C/ OS- II.

Text Books:

1. Embedded Systems: Architecture, programming and Design, by Raj Kamal, TMH New

Delhi.

2. 8051 Microcontroller, by Mazidi and Mazidi, Penram Publishers, New Delhi.

3. Microcontrollers: Theory and Applications, by Ajay V. Deshmukh, Tata McGraw-Hill

Publishing Company Limited, New Delhi, 2005.

4. Embedded Real time system Programming, by Sriram V. Iyer and Pankaj Gupta, TMH.

Reference Books:

1. PIC Controllers, by Mike Predko, MGH.

2. Embedded System Design, by F. Vahid & T. Gargivis, John Wiley and Sons.

3. Embedded System Design: An Introduction to Process Tools and Techniques, A. S.

Berger, CMP Books.

Strategic and Performance Management (MITM-2.4.3 A) Full marks – 100 (Mid Semester: 20; End Semester: 80)

UNIT I

Strategic Management: Definition, Nature, Scope, Importance, Strategic Decision Making,

Strategic Management: Stages of Planning. Characteristics of Strategic Decisions and Role of

Strategic Manager.

UNIT II

Company Mission and Vision: Setting of Objectives, Environment Analysis, BCG Matrix,

SWOT Analysis, Porter’s Generic Strategies.

UNIT III

Motivation – Content Theories (Maslow Theory, ERG Theory, Two Factor Theory,

McClelland Theory); Process Theories (Expectancy Theory, Equity Theory), Skinner’s

Reinforcement Theory.

UNIT IV

Performance Management, Basic Principles of Effective Performance Management,

Characteristics of Effective Performance Management, Scope of PM, Process of PM,

Organizational Performance, Measures of Organizational Performance.

UNIT V

Performance Improvement Models: DSMC and ATI Performance Improvement Model, Multi

Source Feedback in PM, Concepts on Employee Performance Management, Performance

Appraisal, Performance Appraisal Methods, Performance Analysis Model – BEM, Social

Loafing, and Telecommuting.

Text Books:

1. Business Policy and Strategic Management – Concepts and applications, by Gupta,

Gollakota and Srinivasan (PHI).

2. Strategic Management: Formulation, Implementation, and Control, by Pearce and

Robinson (McGraw-Hill/Irwin).

3. Management Policy and Strategic Management: Concepts, Skills and Practices, by

Srivastava and Verma (PHI Learning).

4. Performance Management, by T. V. Rao (Sage Publications).

Accounting for Business and Legal Aspects (MITM-2.4.3 B) Full marks – 100 (Mid Semester: 20; End Semester: 80)

UNIT I

Budgeting: Meaning of Budget. Theory on Classification and Types of budgets:

Classification on the basis of time, functions and flexibility. Definition and Meaning of

Budgetary Control, Objectives of Budgetary Control, Essentials of Budgetary Control,

Advantages of Budgetary Control.

UNIT II

Cost Center, Profit Center, Investment Centre, Elements of Cost, Theory on Classification of

Costs on the basis of nature/element, functions, identifiability, variability, and controllability.

UNIT III

Business Process Re-engineering, TQM, MIS and HRA, Management Information System:

Definition and Concept of MIS, Requirements of MIS, Steps in MIS and Management

Reporting System, Human Resources Accounting: Nature, Objective, and Advantages of

HRA.

UNIT IV

Indian Contract Act 1872: Meaning and Essentials of Contract, Offer and Acceptance,

Consideration, Competency to Contract, Free Consent, Void Agreements, Discharge Of

Contract, Breach Of Contracts.

UNIT V

The Companies Act 2013: Meaning and Types Of Organisation, Memorandum and Article

Of Association, Prospectus, Role of Directors, Shares, Company Meetings, Dissolution of

Company.

Text Books:

1. Management Accounting, Sharma & Gupta, (KP).

2. Merchantile Law, N.D. Kapoor, (S.Chand).

3. Cost Accounting, Sharma & Gupta, (KP).

4. Human Resource Accounting in India, Pandey, (Lambert Academic Publishing).

Project (MITM-2.4.4)

Full marks – 300